372 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" Fellowship positions
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receive a Ph.D. or doctorate degree in cognitive science, psychology, computer science, philosophy, or a related discipline, and have a strong interest and track record in designing, understanding
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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discipline. You will have demonstratable experience in field-based research, microbiology (field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil
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, nutraceutical, and bioceuticals, that might slow aging and or Alzheimer?s disease in mice. The Kaczorowski lab utilizes cutting-edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing
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High Performance Computing (HPC). Candidates must have a Masters in any subject and a PhD awarded/in progress, or similar professional or industry qualifications in Digital Humanities/Classics
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Qualification: The candidate should possess an Ph.D. degree or equivalent in Telecommunications and Computer Science Experience: The successful candidate should have proven experience (in terms of high-ranking
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) to join an interdisciplinary research programme addressing challenges associated with the analysis, monitoring, and improvement of complex engineering systems, with applications in energy and infrastructure
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, interdisciplinary research environment at UBC, with access to high-performance computing resources and high-quality omics datasets. The position offers opportunities to work closely with experimental and